Coincident Above- and Below-ground Autonomous Monitoring to Quantify Co-variability in Permafrost, Soil and Vegetation Properties in Arctic Tundra: Supporting Data

DOI: 10.5440/1355348
NGEE Arctic Record ID: NGA100

Abstract

These data are provided in support of an NGEE Arctic publication (Dafflon et al., 2017) available at doi: 10.1002/2016JG003724 The dataset (221 *.csv data files) contains measurements obtained through 1) electrical resistivity tomography (ERT) to monitor soil properties, 2) pole-mounted optical cameras to monitor vegetation dynamics, and 3) point probes to measure soil temperature, and periodic manual measurements of thaw layer thickness, snow thickness and soil dielectric permittivity at a study site in the Barrow Environmental Observatory (BEO) in 2013 and 2014. The BEO is located within the Arctic coastal region, about 6 km from the ocean shore and the village of Barrow, AK. 

The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy’s Office of Biological and Environmental Research.

The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.

Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy’s Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).

Dataset Citation

Baptiste Dafflon, Rusen Oktem, John Peterson, Craig Ulrich, Anh Tran, Vladimir Romanovsky, Susan Hubbard. 2017. Coincident Above- and Below-ground Autonomous Monitoring to Quantify Co-variability in Permafrost, Soil and Vegetation Properties in Arctic Tundra: Supporting Data. Next Generation Ecosystem Experiments Arctic Data Collection, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tennessee, USA. Dataset accessed on [INSERT_DATE] at https://doi.org/10.5440/1355348.

Dates:

20130718 - 20140902

Geographic Location:

NGEE Arctic Utqiagvik (Barrow), Alaska

Bounding Coordinates:

N:71.35
S:71.2
E:-156.4
W:-156.7

Place Keywords:

North Slope, Alaska; AB Corridor; Barrow Environmental Observatory; Barrow, Alaska; Utqiagvik, Alaska

Subject Keywords:

Soil electrical conductivity and green chromatic coordinate, Snow depth, Topography, Thaw layer depth, Soil electrical conductivity, Dielectric permittivity, NDVI, Green chromatic coordinate,

GCMD Keywords:

EARTH SCIENCE > LAND SURFACE > SOILS

EARTH SCIENCE > BIOSPHERE > VEGETATION

EARTH SCIENCE > CRYOSPHERE > FROZEN GROUND

GCMD Variables:

Dataset Usage Rights
Public Datasets

This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0.

See the NGEE Arctic Data Policies for more details https://ngee-arctic.ornl.gov/data-policies.